Triple
T4822233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stamford Bridge |
E107736
|
entity |
| Predicate | convertedToFootballStadium |
P39551
|
FINISHED |
| Object | 1905 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1905 | Statement: [Stamford Bridge, convertedToFootballStadium, 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToFootballStadium Context triple: [Stamford Bridge, convertedToFootballStadium, 1905]
-
A.
convertedToBaseballStadium
Indicates that something was transformed or repurposed into a baseball stadium.
-
B.
convertedToFootballOnly
chosen
Indicates that something previously involved in multiple activities or sports has been changed so that it is now used exclusively for football.
-
C.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
-
D.
locatedInStadium
Indicates that an entity is situated within or at the premises of a specific stadium.
-
E.
containsStadium
Indicates that a location or area includes a stadium within its boundaries or premises.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.